Measures of Dispersion

What is Measure of Dispersion in Statistics?

Measure of Dispersion is the positive real numbers that are used to define the variability of the data set about any central point.

What are Types of Measures of Dispersion in Statistics?

Measures of Dispersion are classified into two types :

Absolute Measures of Dispersion
Relative Measures of Dispersion

What is Absolute Measure of Dispersion?

Absolute Measures of Dispersion are the statistical tools that provide the actual spread of data, like range and standard deviation. They have the same units as the data.

What is Relative Measure of Dispersion?

Relative Measure of Dispersions show the spread of data relative to its central value, without unit dependency. They are statistical comparisons, expressed as ratios or percentages, like the coefficient of variation.

What is the Difference between Absolute and Relative Measure of Dispersion?

Absolute measures of dispersion provide the actual spread of data, like range, variance, standard deviation. They are expressed in the same units as the data. Relative measures of dispersion, on the other hand, compare the spread relative to the central value, usually as a ratio or percentage. They are unitless, allowing for comparison between different datasets.

How to Calculate Dispersion in Statistics?

Dispersion is calculated by using various formulas for mean, standard deviation, variance, etc.

What are Examples of Dispersion in Statistics?

Examples of dispersion in statistics include: Range, Variance, Standard Deviation, Interquartile Range (IQR), Coefficient of Variation, etc.

Measures of Dispersion | Types, Formula and Examples

Measures of Dispersion are used to represent the scattering of data. These are the numbers that show the various aspects of the data spread across various parameters.

Let’s learn about the measure of dispersion in statistics , its types, formulas, and examples in detail.